152 search results - page 8 / 31 » Observational learning in an uncertain world |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
SIGECOM
2006
ACM
14 years 1 months ago
2006
ACM
In traditional game theory, players are typically endowed with exogenously given knowledge of the structure of the game—either full omniscient knowledge or partial but fixed in...
AAAI
2006
13 years 8 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
BLISS
2008
IEEE
14 years 1 months ago
2008
IEEE
The CSISM project is designing and implementing an automated cyberdefense decision-making mechanism with expert-level ability. CSISM interprets alerts and observations and takes d...